The Trump administration, which took a noninterventionist approach to artificial intelligence, is now discussing imposing oversight on A.I. models before they are made publicly available. By Tripp ...

The global community has faced substantial threats from infectious diseases in recent decades. As a crucial element of epidemic surveillance systems, infectious disease prediction technology plays an ...

Post-ERCP pancreatitis (PEP) is the most common complication following ERCP, leading to significant clinical and economic consequences. Predictive models for PEP can help identify high-risk patients ...

This project presents a machine learning-based predictive model developed in MATLAB to forecast hospital resource requirements using historical healthcare data. The system helps in predicting future ...

Functional connectivity (FC) analysis holds strong potential for predicting behavioral traits. However, whole-brain predictive models face challenges with interpretability and generalizability, while ...

Joseph Alderman et al argue that predictive models in healthcare lack adequate oversight and regulation. They highlight the potential risks to patients and call for improved governance to ensure the ...

Before 2017, Zuckerberg San Francisco General Hospital – an urban, academic safety-net hospital within the San Francisco Health Network – struggled with some of the highest 30-day readmission rates in ...